DBMS > GigaSpaces vs. H2GIS vs. LevelDB vs. STSdb

System Properties Comparison GigaSpaces vs. H2GIS vs. LevelDB vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions

Spatial extension of H2

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Document store
Object oriented DBMS

Values are user defined objects

Spatial DBMS

Key-value store

Secondary database models

Graph DBMS
Search engine

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.91
Rank	#197	Overall
	#33	Document stores
	#7	Object oriented DBMS

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Score	2.33
Rank	#111	Overall
	#19	Key-value stores

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Website

www.gigaspaces.com

www.h2gis.org

github.com/google/leveldb

github.com/STSSoft/STSdb4

Technical documentation

docs.gigaspaces.com/latest/landing.html

www.h2gis.org/docs/home

github.com/google/leveldb/blob/main/doc/index.md

Developer

Gigaspaces Technologies

CNRS

Google

STS Soft SC

Initial release

2000

2013

2011

Current release

15.5, September 2020

1.23, February 2021

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial licenses available

Open Source

LGPL 3.0

Open Source

BSD

Open Source

GPLv2, commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, C++, .Net

Java

C++

Server operating systems

Linux
macOS
Solaris
Windows

Illumos
Linux
OS X
Windows

Windows

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

XML can be used for describing objects metadata

Secondary indexes

yes

SQL

Support of SQL

SQL-99 for query and DML statements

yes

APIs and other access methods

GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data

.NET Client API

Supported programming languages

.Net
C++
Java
Python
Scala

Java

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

C#
Java

Server-side scripts

Stored procedures

yes

based on H2

Triggers

yes, event driven architecture

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

synchronous or asynchronous
Source-replica replication

synchronous or asynchronous

yes

based on H2

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Map-Reduce pattern can be built with XAP task executors

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Consistency level configurable: ALL, QUORUM, ANY

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role-based access control

yes

based on H2

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